Latest AI JobsBrowse Jobs
faculty logo

Senior Software Engineer (Safety)

facultyLondonNational Security & Safety
Apply on company site
Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Senior
Posted
2 Oct 2026
Status
Open · checked 7d ago

About this role

Faculty is seeking a Senior Software Engineer for a full-time position located in London, UK, to lead the development of secure and responsible artificial intelligence systems. This role is well-suited for a software professional with expertise in production-grade machine learning systems, cloud platforms, and large language model applications.

Role Overview

Faculty is looking for a Senior Software Engineer to join the National Security and AI Safety business unit in London. The professional in this position will drive technical strategy, bridge the gap between artificial intelligence research and practical application, and build scalable infrastructure for diverse global clients across government, finance, retail, and other sectors.

Key Responsibilities

Drive technical scoping and architectural decisions for high-impact machine learning systems and capability testing of frontier models.
Build production-grade software, specialized tools, and scalable infrastructure for machine learning deployment.
Establish operational best practices and deployment standards for scalable machine learning across the organization.
Partner with data scientists, engineers, product managers, and commercial teams to address client objectives.
Serve as a trusted technical advisor to external partners and customers.
Coach junior engineers and contribute to the technical growth of the team.

Requirements

Proven experience building and deploying secure, scalable large language model applications alongside multi-agent harness tooling and safety evaluation processes.
Comprehensive knowledge of the machine learning lifecycle and operationalizing models via frameworks such as TensorFlow or PyTorch.
Advanced software engineering background with strong programming proficiency in Python.
Practical background working with major cloud platforms including AWS, Azure, or GCP, encompassing cloud architecture, infrastructure management, and cybersecurity practices.
Extensive experience utilizing containerization and orchestration technologies like Docker and Kubernetes.
Ability to operate autonomously in a fast-paced environment and communicate clearly with both technical and non-technical stakeholders.

Skills and Tools

Python
TensorFlow
PyTorch
Docker
Kubernetes
AWS
Azure
GCP
LLM applications
Multi-agent harness tooling

About the Company

Established in 2014, Faculty delivers human-centric artificial intelligence solutions to over 350 global customers across sectors like government, finance, retail, energy, life sciences, and defence. The organization focuses on building responsible, secure, and trustworthy artificial intelligence through an approach centered on diversity, intellectual curiosity, and measurable real-world impact.

How to Apply

Interested candidates should submit their application directly on the official Faculty careers page.

Skills and tech stack

Questions candidates ask

Where is the Senior Software Engineer position located?

The role is based in London, UK.

What frameworks must candidates be familiar with?

Candidates should be comfortable operationalising models built with frameworks like TensorFlow or PyTorch.

What does the interview process involve?

The interview process consists of a 30-minute talent team screen, a 90-minute pair programming interview, a 90-minute system design interview, and a 60-minute commercial interview.

Is part-time work an option for this position?

Yes, Faculty is open to conversations about part-time hours.

Ready to apply?

The application is on the official faculty careers page.

Apply on company site